Sustainable Reverse Logistic Networks Performance Assessment

Document Type : Review Paper

Authors

1 Industrial Engineering, Mechanical Engineering Department., Faculty of Engineering, Helwan University, Cairo, Egypt.

2 Mechanical Engineering Department., Faculty of Engineering, Helwan University, Cairo, Egypt.

3 Mechanical Engineering Department., Faculty of Engineering, AssiutUniversity, Assiut, Egypt.

Abstract

Reverse logistics (RL) in the manufacturing sector is of prime importance due to the implications of the increasing scarcity of raw materials and environmental concerns. It concerns with product returns, refurbishing, recycling, and the disposal of end-of-life products. RL should be considered a strategic tool for implementing the strategic vision of the circular economy. Implementation of performance measurement systems in RL is thus instrumental to operational excellence, cost savings, customer satisfaction, and sustainability management for product returns and end-of-life products. The most critical variable that is normally considered in designing a sustainable reverse logistics network is service lifetime. This research carried out a systematic literature review on the performance assessment of the Reverse Logistics networks during the period 2019-2025 The aim is to enhance fruitful and some gaps of research areas. Data used in this study are extracted and filtered from the Web Science and Scopus databases. The results obtained from this literature survey are studying different assessment approaches of performance of the reverse logistics assessment in many industrial applications. Moreover, some recommendations for the future work that paved the way for the researchers who are interested in this research area.

Keywords

Main Subjects

References

  • Mishra, A., et al., A review of reverse logistics and closed-loop supply chains in the perspective of circular economy. Benchmarking: an international journal, 2023. 30(3): p. 975-1020.
  • Casper, R. and E. Sundin, Electrification in the automotive industry: effects in remanufacturing. Journal of Remanufacturing, 2021. 11: p. 121-136.
  • Yuksek, Y.A., et al., Sustainability Assessment of Electronic Waste Remanufacturing: The Case of Laptop. Procedia CIRP, 2023. 116: p. 378-383.
  • Carniel, A., V. de Abreu Waldow, and A.M. de Castro, A comprehensive and critical review on key elements to implement enzymatic PET depolymerization for recycling purposes. Biotechnology Advances, 2021. 52: p. 107811.
  • Payne, A., Open-and closed-loop recycling of textile and apparel products, in Handbook of life cycle assessment (LCA) of textiles and clothing. 2015, Elsevier. p. 103-123.
  • Ozturkcan, S., The right-to-repair movement: Sustainability and consumer rights. Journal of Information Technology Teaching Cases, 2024. 14(2): p. 217-222.
  • Naor, M., Tesla’s Circular Economy Strategy to Recycle, Reduce, Reuse, Repurpose and Recover Batteries, in Recycling Strategy and Challenges Associated with Waste Management Towards Sustaining the World. 2022, IntechOpen.
  • Cooper, T., et al., Furniture lifetimes in a circular economy: a state of the art review. 2021.
  • Zhang, F., et al., China's energy-related carbon emissions projections for the shared socioeconomic pathways. Resources, Conservation and Recycling, 2021. 168: p. 105456.
  • Gustafsson Sagström, J. and A. Petersen, Drivers, consequences and actions for reverse logistics within the aftermarket A case study of Volvo Group. 2016.
  • Dietrich, J., et al. Extending product lifetimes: A reuse network for ICT hardware. in Proceedings of the Institution of Civil Engineers-Waste and Resource Management. 2014. Thomas Telford Ltd.
  • Samani, P., et al., Pre-fabricated, environmentally friendly and energy self-sufficient single-family house in Kenya. Journal of Cleaner Production, 2017. 142: p. 2100-2113.
  • Tabatabaie, S.M.H. and G.S. Murthy, Development of an input-output model for food-energy-water nexus in the pacific northwest, USA. Resources, Conservation and Recycling, 2021. 168: p. 105267.
  • Brouwer, M., et al., The impact of collection portfolio expansion on key performance indicators of the Dutch recycling system for Post-Consumer Plastic Packaging Waste, a comparison between 2014 and 2017. Waste management, 2019. 100: p. 112-121.
  • Glöser‐Chahoud, S., M. Pfaff, and F. Schultmann, The link between product service lifetime and GHG emissions: A comparative study for different consumer products. Journal of Industrial Ecology, 2021. 25(2): p. 465-478.
  • Nikolaou, I.E., K.I. Evangelinos, and S. Allan, A reverse logistics social responsibility evaluation framework based on the triple bottom line approach. Journal of cleaner production, 2013. 56: p. 173-184.
  • Banihashemi, T.A., J. Fei, and P.S.-L. Chen, Exploring the relationship between reverse logistics and sustainability performance: A literature review. Modern Supply Chain Research and Applications, 2019. 1(1): p. 2-27.
  • de Almeida, I.T.G.V., et al., Circular Economy and Reverse Logistics: a Systematic Review. Revista de Gestão Social e Ambiental, 2024. 18(3): p. 1-14.
  • Prajapati, H., R. Kant, and R. Shankar, Prioritizing the solutions of reverse logistics implementation to mitigate its barriers: A hybrid modified SWARA and WASPAS approach. Journal of Cleaner Production, 2019. 240: p. 118219.
  • Sonar, H., et al., Navigating barriers to reverse logistics adoption in circular economy: An integrated approach for sustainable development. Cleaner Logistics and Supply Chain, 2024. 12: p. 100165.
  • Shahidzadeh, M.H. and S. Shokouhyar, Toward the closed-loop sustainability development model: a reverse logistics multi-criteria decision-making analysis. Environment, development and sustainability, 2023. 25(5): p. 4597-4689.
  • Pimentel, M., A. Arantes, and C.O. Cruz, Barriers to the adoption of reverse logistics in the construction industry: A combined ISM and MICMAC approach. Sustainability, 2022. 14(23): p. 15786.
  • Silva, A.L., et al., Barriers to implementing reverse logistics in companies: a systematic literature review. Studies in Multidisciplinary Review, 2025. 6(1): p. e13889-e13889.
  • Wardani, S.A., N.U. Handayani, and M.A. Wibowo, Barriers for implementing reverse logistics in the construction sectors. Journal of Industrial Engineering and Management, 2022. 15(3): p. 385-415.
  • Nunes, D.R.d.L., et al., Approaches to performance assessment in reverse supply chains: A systematic literature review. Logistics, 2023. 7(3): p. 36.
  • Li, Z., et al., A circular economy approach for recycling Electric Motors in the end-of-life Vehicles: A literature review. Resources, Conservation and Recycling, 2024. 205: p. 107582.
  • Guo, Y., Circular Economy of Waste Electronic Products Based on Gompertz Model. Process Integration and Optimization for Sustainability, 2025: p. 1-13.
  • He, M., et al., Designing a multi-level reverse logistics network for waste batteries of electric vehicles under uncertainty—A case study in the Yangtze River Delta Urban Agglomerations of China. Journal of Cleaner Production, 2024. 472: p. 143418.
  • Zhang, X., et al., A review on remanufacturing reverse logistics network design and model optimization. Processes, 2021. 10(1): p. 84.
  • Penteado, C.S.G. and M.A.S. de Castro, Covid-19 effects on municipal solid waste management: What can effectively be done in the Brazilian scenario? Resources, Conservation and Recycling, 2021. 164: p. 105152.
  • Sonego, M., M.E.S. Echeveste, and H.G. Debarba, Repair of electronic products: Consumer practices and institutional initiatives. Sustainable Production and Consumption, 2022. 30: p. 556-565.
  • Al Doghan, M.A. and V.P.K. Sundram, AI-enabled reverse logistics and big data for enhanced waste and resource management. Operational Research in Engineering Sciences: Theory and Applications, 2023. 6(2).
  • Kang, K. and B.Q. Tan, Multi-echelon reverse logistics network design in the context of circular economy: a Hong Kong case study. Humanities and Social Sciences Communications, 2025. 12(1): p. 1-15.
  • Tosarkani, B.M., S.H. Amin, and M.R. Ghiasvand, Designing a sustainable plastic bottle reverse logistics network: A data-driven optimization approach. Expert Systems with Applications, 2024. 251: p. 123918.
  • Borucka, A. and M. Grzelak, Deposit–Refund System as a Strategy to Drive Sustainable Energy Transition on the Example of Poland. Sustainability, 2025. 17(3): p. 1030.
  • Mottaghi, M. and S. Mansour, A multi-objective robust optimization model to sustainable closed-loop lithium-ion battery supply chain network design under uncertainties. Computers & Chemical Engineering, 2025: p. 109008.
  • Arab, A., A systematic review of multi-objective optimization applications in reverse logistics. Journal of Supply Chain Management Science, 2022. 3(1-2): p. 37-64.
  • Mirzaei, M.G., et al., Designing a dual-channel closed loop supply chain network using advertising rate and price-dependent demand: Case study in tea industry. Expert Systems with Applications, 2023. 233: p. 120936.
  • Butt, A.S., I. Ali, and K. Govindan, The role of reverse logistics in a circular economy for achieving sustainable development goals: A multiple case study of retail firms. Production Planning & Control, 2024. 35(12): p. 1490-1502.
  • Castañeda-Rodríguez, I. and A.T. Espinoza Pérez, Multi-Objective Model for End-of-Life Tires Reverse Logistics: Enhancing Sustainability Through a Techno-Political Framework. Available at SSRN 5079234.
  • Khor, K.-S., T. Ramayah, and H.R.P. Fouladgaran, Managing eco-design for reverse logistics. International Journal of Environment and Waste Management, 2020. 26(2): p. 125-146.
  • Dabees, A., et al., The role of organizational performance in sustaining competitive advantage through reverse logistics activities. Business Process Management Journal, 2024. 30(6): p. 2025-2046.
  • Lucas, E., et al., Global environmental and nutritional assessment of national food supply patterns: Insights from a data envelopment analysis approach. Science of the Total Environment, 2021. 755: p. 142826.
  • Renkin, C. and S. Limbourg. Optimizing Reverse Logistics for Waste Materials: A Multi-Stage Processing and Transportation Model. in the Joint Orbel-NGB conference on Operations Research. 2025.
  • Agarwal, S., M. Tyagi, and R.K. Garg, Framework development and evaluation of Industry 4.0 technological aspects towards improving the circular economy-based supply chain. Industrial Robot: the international journal of robotics research and application, 2022. 49(3): p. 555-581.
  • Dabo, A.-A.A. and A. Hosseinian-Far, An integrated methodology for enhancing reverse logistics flows and networks in Industry 5.0. Logistics, 2023. 7(4): p. 97.
  • Varriale, V., et al., Industry 5.0 and triple bottom line approach in supply chain management: the state-of-the-art. Sustainability, 2023. 15(7): p. 5712.
  • Ismail, M.M., et al., Toward supply chain 5.0: An integrated multi-criteria decision-making models for sustainable and resilient enterprise. Decision making: applications in management and engineering, 2024. 7(1): p. 160-186.
  • Teixeira, E.L.S., et al., Demystifying the digital transition of remanufacturing: A systematic review of literature. Computers in Industry, 2022. 134: p. 103567.
  • Kerin, M. and D.T. Pham, A review of emerging industry 4.0 technologies in remanufacturing. Journal of cleaner production, 2019. 237: p. 117805.
  • Sun, X., H. Yu, and W.D. Solvang, Towards the smart and sustainable transformation of Reverse Logistics 4.0: A conceptualization and research agenda. Environmental Science and Pollution Research, 2022. 29(46): p. 69275-69293.
  • Heidari, A., et al., Accelerating Benders Decomposition for sustainable food closed-loop supply chain network under uncertainty: a case study. Kybernetes, 2025.
  • Najm, H. and E. Asadi-Gangraj, Designing a robust sustainable reverse logistics to waste of electrical and electronic equipment: a case study. International Journal of Environmental Science and Technology, 2024. 21(2): p. 1559-1574.
  • Shi, Y., L. Vanhaverbeke, and J. Xu, Electric vehicle routing optimization for sustainable kitchen waste reverse logistics network using robust mixed-integer programming. Omega, 2024. 128: p. 103128.
  • Xia, H., et al., Uncertain programming model for designing multi-objective reverse logistics networks. Cleaner Logistics and Supply Chain, 2024. 11: p. 100155.
  • Szymańska, E.J., R. Mroczek, and J. Drożdż, A Closed-Loop Economy in the Meat Industry for Generating Alternative Energy from Biogas Plants. Energies, 2024. 17(23): p. 6172.
  • Yu, H. and X. Sun, Uncertain remanufacturing reverse logistics network design in industry 5.0: Opportunities and challenges of digitalization. Engineering Applications of Artificial Intelligence, 2024. 133: p. 108578.
  • Ferreira, J.C., M.T.A. Steiner, and O. Canciglieri Junior, Multi-objective optimization for the green vehicle routing problem: A systematic literature review and future directions. Cogent Engineering, 2020. 7(1): p. 1807082.
  • Arnarson, H., et al., Towards smart layout design for a reconfigurable manufacturing system. Journal of Manufacturing Systems, 2023. 68: p. 354-367.
  • Chen, W., Y. Liu, and M. Han, Designing a sustainable reverse logistics network for used cell phones based on offline and online trading systems. Journal of Environmental Management, 2024. 354: p. 120417.

[61] Kaoud, Essam, et al. "Design and optimization of the dual-channel closed loop supply chain with e-commerce." Sustainability 12.23 (2020): 10117.

[62] Essam Kaoud, Mohammad A. M. Abdel-Aal, Tatsuhiko Sakaguchi, and Naoki Uchiyama, "Robust optimization for a bi-objective green closed-loop supply chain with heterogeneous transportation system and presorting consideration." Sustainability 14.16 (2022): 10281.

      [63] Essam Kaoud, Mahmoud Heshmat, Mahmoud A. El-Sharief, and Mohamed G. El-Sebaie, "Scheduling of automated guided vehicles and machines in flexible manufacturing systems: a simulation study." International Journal of Industrial and Systems Engineering 35.3 (2020): 372-387.

[64] Abdulrakeb Ghaleb, M. Heshmat, Mahmoud A. El-Sharief, and M. G. El-Sebaie. "Using fuzzy logic and discrete event simulation to enhance production lines performance: case study." 2019 IEEE 6th International Conference on Industrial Engineering and Applications (ICIEA). IEEE, 2019.

[65] Shehata, Abdelrahman S., Mahmoud Heshmat, and Mahmoud A. El-Sharief. "Reduction of variation and control parameters optimising in a cement-bags company." International Journal of Process Management and Benchmarking 12.3 (2022): 321-347.

     [66] Mohamed Abdelkhalek Attia, Mahmoud Heshmat, and Amr Eltawi, "A system dynamics approach for strategic planning of consumer electronics industry in developing countries: the case of the television manufacturing industry in Egypt", South African Journal of Industrial Engineering 32.2 (2021): 133-149.

     [67] Mahmoud A. El-Sharief, Omar Salah, and Mahmoud Heshmat, "ANFIS and regression-based ANOVA for attribute and variable prediction: a case of quality characteristics in the cement bags industry." International Journal of Industrial and Systems Engineering 44.3 (2023): 336-350.

JES. Journal of Engineering Sciences
Volume 54, Issue 1
January 2026
Pages 50-75

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